Software Design, Engineering & Delivery Services
Full-stack software development — one team accountable from discovery through to the support call in year three.
Most software problems are not really one discipline's problem. A slow checkout is a frontend question, a database question, and an infrastructure question at the same time, and a team that owns only one of the three will always be waiting on somebody else. Develune is organised the other way round: the same team designs the product, writes the frontend and the backend, ships it to a cloud environment it also configured, and tests all of it automatically before it reaches your users.
The services below are how that work is scoped and bought, not a map of separate teams. Most engagements draw on several of them — a build is usually product design, frontend, backend, and QA moving together — and you deal with one group of people throughout, accountable for the outcome rather than for their slice of it.
Core services
The work we do most, with delivered case studies behind it.
Custom Software Development
Software built around how your business actually works.
End-to-end product engineering for SaaS platforms, internal tools, and client portals. We scope the problem, design the architecture, build the system, and stay with it after launch.
- SaaS platform development
- Internal tools & admin systems
- Customer & client portals
Web & Frontend Engineering
Interfaces that load fast, work everywhere, and convert.
Production front-ends in React, Next.js, and TypeScript — accessible, responsive, and measured against Core Web Vitals rather than a design mockup alone.
- React & Next.js application development
- Design system & component library builds
- Marketing site & landing page engineering
Backend & API Engineering
Services and APIs that stay up under real load.
Reliable back-ends, well-documented APIs, and data models designed to last — on Node.js, Ruby on Rails, and Python, with the integrations your business depends on.
- REST & GraphQL API design and development
- Database design, modeling, and optimization
- Authentication, authorization, and role systems
QA & Test Automation
Release confidence, measured in coverage and cycle time.
Test strategy, automated suites, and CI-integrated quality gates — so regressions are caught by a pipeline instead of by your customers.
- Test strategy and QA process design
- End-to-end automation (Cypress, Playwright, Selenium)
- API and contract testing
AI & Automation Engineering
AI in production, with guardrails and evaluations.
LLM-powered features, retrieval systems, and workflow automation — built with evaluation suites, cost controls, and a human in the loop where it matters.
- LLM application development
- Retrieval-augmented generation (RAG) systems
- AI agents and Model Context Protocol integrations
Product Strategy & UX/UI Design
Decide what to build before you pay to build it.
Discovery, scoping, and interface design that turn an idea into a clear, buildable plan — with prototypes you can test before committing to a full build.
- Product discovery and requirements definition
- MVP scoping and release planning
- UX research, user flows, and information architecture
Extended capabilities
Offered alongside the core work, usually as part of a wider build.
Mobile App Development
One codebase, both stores, no compromise on feel.
Cross-platform iOS and Android applications in React Native and Flutter — including store submission, release management, and over-the-air updates.
- React Native application development
- Flutter application development
- Cross-platform architecture and shared code
Cloud, DevOps & Infrastructure
Deploy on demand. Sleep through the night.
Cloud architecture, CI/CD pipelines, infrastructure as code, and observability on AWS, Google Cloud, and Vercel — including cost optimization on what you already run.
- Cloud architecture and migration
- CI/CD pipeline design and automation
- Infrastructure as code (Terraform, CDK)
Data Engineering & Analytics
One version of the numbers, updated automatically.
Data pipelines, warehousing, and business intelligence — consolidating the systems you already run into reporting the whole company can trust.
- Data pipeline and ETL development
- Data warehouse design and implementation
- System and database migrations
Software Rescue & Legacy Modernization
For the system you have, not the one you wish you had.
Software rescue and modernization for abandoned or outgrown codebases, plus ongoing maintenance and support for the system you have today.
- Care and support retainers
- Legacy codebase audits
- Framework and dependency upgrades
Start here if this sounds familiar
The situation clients are usually in when they come to us for each one.
“Your operation has outgrown spreadsheets and disconnected SaaS tools”
Custom Software Development“Your app looks right in the design file and wrong in production”
Web & Frontend Engineering“Your API is undocumented and every integration becomes a support ticket”
Backend & API Engineering“Regression testing before every release takes hours of manual work”
QA & Test Automation“A team spends hours on work an LLM could draft and a human could approve”
AI & Automation Engineering“You have an idea and no reliable sense of what it takes to build”
Product Strategy & UX/UI Design“Your users need your product on a phone, in the field, or offline”
Mobile App Development“Deploys are manual, risky, and only one person knows how to do them”
Cloud, DevOps & Infrastructure“Two systems report different numbers for the same thing”
Data Engineering & Analytics“The people who built your system are no longer available”
Software Rescue & Legacy Modernization
Not sure which one you need?
That is what a Discovery Sprint is for. Thirty minutes on a call first — no pitch — and we will tell you honestly whether we are the right team.
Certified engineering, not claimed
Our AI engineering work is backed by credentials issued by the model vendor itself, not a self-assessment.
Claude Code in Action
Issued by Anthropic · June 2026
Introduction to Model Context Protocol
Issued by Anthropic · June 2026
Introduction to Agent Skills
Issued by Anthropic · June 2026
What every engagement guarantees
The same commitments apply to every client, on every project, and they are written into the agreement.
You own everything
Code, data, infrastructure, designs, and documentation are yours from day one — including the right to take them to another team.
Direct access to engineers
You talk to the people writing the code. There is no account-management layer between you and the work.
Agreed scope, agreed changes
Scope is agreed once and then fixed. Anything outside it is discussed and approved before work starts — never discovered on an invoice.
Tested before it ships
Automated tests and CI quality gates are part of the build, not an upsell. Nothing reaches your users without passing them first.
Your data stays where agreed
Data handling, access, and residency are agreed in writing before the build. We sign NDAs as standard and no client data leaves the agreed boundary.
Documented handover
Every engagement ends with documentation, architecture notes, and a runbook — so your team can operate the system independently.
Common Questions
Scope, stack, taking over someone else's codebase, and how soon we can start
What services does Develune offer?
Nine services: custom software development, web and frontend engineering, backend and API engineering, QA and test automation, AI and automation engineering, product strategy and UX/UI design, mobile app development, cloud, DevOps and infrastructure, and data engineering and analytics. We also run maintenance and support retainers, including rescue work on codebases we did not originally build.
How do you work out what a project involves?
It depends entirely on your requirements, and we would rather tell you that honestly than publish something that fits nobody. A small integration and a multi-team platform are not the same job. So we start by understanding what you actually need, then agree everything in writing before any work starts. Send us a short brief and we will come back with a recommended way to work together, usually within one business day, with no obligation.
What technologies does Develune build with?
TypeScript, React, and Next.js on the front end; Node.js, Ruby on Rails, Python, PostgreSQL, and GraphQL on the back end; React Native and Flutter for mobile; AWS, Google Cloud, Vercel, Docker, and Terraform for infrastructure; Cypress, Playwright, Selenium, and Cucumber for testing; and Claude, Gemini, and the Model Context Protocol for AI work. We choose the stack that fits the product rather than defending a favourite.
Can Develune take over a project someone else started?
Yes, and it is a regular part of our work. We start with a codebase audit covering architecture, dependency risk, security exposure, and test coverage, then give you an honest assessment of what is salvageable and what is not. We modernize incrementally wherever possible and only recommend a rewrite when we can show the reasoning.
What does AI engineering mean at Develune?
Two things. We build AI features into client products — LLM applications, retrieval systems, document processing, and agents — with evaluation suites, guardrails, cost ceilings, and human review on anything consequential. We also use AI tooling internally to move faster, with an engineer reviewing every change before it ships. Our team holds Anthropic certifications in Claude Code, the Model Context Protocol, and Agent Skills.
How quickly can Develune start?
A Discovery Sprint can usually begin within one to two weeks of an agreed scope. Larger builds and dedicated-team engagements depend on current capacity, which we will tell you honestly on the first call rather than promising a date we cannot hold.